OpenAI Agents SDK
OpenAI Agents SDK is discussed as an agent SDK surface in GAIC's source-qualified lifecycle governance mapping.
Source-qualified lifecycle governance lens.
This page summarizes how the Global AI Compliance White Paper 2026 discusses this system through a lifecycle governance lens. It is not official vendor documentation, endorsement, certification, legal advice, procurement recommendation, or a vendor ranking.
System context in the white paper
In GAIC, OpenAI Agents SDK is used to examine how an SDK surface relates to lifecycle responsibility questions. The page does not describe current product features beyond the white paper's source-qualified framing.
The white paper includes OpenAI Agents SDK in Chapter 12 mapping summaries and Appendix G expanded assessment, with a platform-guide access note in source QA.
The mapping is narrowed to accessible SDK-surface documentation in the GAIC source layer; unsupported lifecycle governance claims are excluded or treated analytically.
Lifecycle governance questions
- What authority boundaries are visible?
- What evidence chain is available?
- What accepted outcome state is defined?
- What happens under substitution, dispute, or remediation?
- Which human or organizational role owns lifecycle responsibility?
Related Missing Regulatory Objects
These concepts are used as governance lenses. This page does not claim that the system has or lacks a feature unless that claim is source-supported by the GAIC source layer.
RCCS-M / ALCS relevance
RCCS-M asks whether SDK-surface evidence can be connected to Missing Regulatory Objects. ALCS asks whether lifecycle coherence remains visible across planning, authority, evidence, acceptance, dispute, remediation, and closure.
This is author-analytical and source-qualified. It should not be read as a final product maturity judgment, legal compliance proof, certification, or procurement recommendation.
Protocol path
MPLP is one possible protocol path around lifecycle responsibility semantics; GAIC does not present it as an OpenAI requirement, endorsement, or official implementation route.
White paper source trace
OpenAI Agents SDK is source-traced to the white paper's system mapping, provisional results, scoring method, and boundary discipline.
The white paper treats the system through source-qualified RCCS-M and ALCS mapping. The page records that relation without recalculating scores or turning the system into a vendor ranking.
Read the mapping as a question about whether authority, evidence, accepted outcome, substitution, dispute, remediation, and closure remain visible around the system surface.
This source trace is author-analytical. It is not legal advice, certification, legal compliance proof, regulator approval, vendor ranking, procurement guidance, or a claim that MPLP is required.